Modeling motive activation in the operant motive test : a psychometric analysis using dynamic Thurstonian item response theory
Modeling motive activation in the operant motive test : a psychometric analysis using dynamic Thurstonian item response theory
复制标题
操作性动机测试中的动机激活建模：使用动态瑟斯顿项目反应理论的心理测量分析
DOI：
10.1037/mot0000041
复制
发表时间：
2016
影响因子：
2.2
通讯作者：
Zettler
中科院分区：
文献类型：
--
作者：
Engeser;Schüler;den Hartog;Zettler
操作性动机测试（OMT）是一种基于图片的程序，要求被调查者产生富有想象力的言语行为，随后由训练有素的编码器对与隶属关系、权力和成就相关的动机内容进行编码。OMT使用了更多的图片，并要求受访者提供更简短的答案，而不是早期和更传统的基于图片的内隐动机测量，因此成为研究和实践中经常使用的测量工具。本文重点研究了OMT的心理测量反应机制，并利用thurston项目反应理论建立了内隐动机测量反应过程的心理测量模型。这篇文章的贡献是双重的。首先，本文建立在最近开发的动态thurston模型的基础上，用于更传统的隐式动机测量（Lang, 2014），并报告了我们所知道的第一个将该模型应用于OMT数据（N= 633）并研究OMT中动态动机激活的分析。该分析结果为OMT的动态动机激活提供了证据，并表明基于动态模型的模拟IRT可靠性为。52岁。62年,。在OMT中，归属动机、成就动机和权力动机分别为73分。本文的第二个贡献是一个教程和R代码，它允许研究人员直接将动态Thurstonian IRT模型应用于他们的数据。讨论了OMT在未来研究中的应用以及改进OMT的可能途径。（PsycInfo数据库记录(c) 2020 APA，版权所有）
The Operant Motive Test (OMT) is a picture-based procedure that asks respondents to generate imaginative verbal behavior that is later coded for the presence of affiliation, power, and achievement-related motive content by trained coders. The OMT uses a larger number of pictures and asks respondents to provide more brief answers than earlier and more traditional picture-based implicit motive measures and has therefore become a frequently used measurement instrument in both research and practice. This article focuses on the psychometric response mechanism in the OMT and builds on recent advancements in the psychometric modeling of the response process in implicit motive measures through the use of Thurstonian item-response theory. The contribution of the article is twofold. First, the article builds on a recently developed dynamic Thurstonian model for more traditional implicit motive measures (Lang, 2014) and reports the first analysis of which we are aware that applies this model to OMT data (N= 633) and studies dynamic motive activation in the OMT. Results of this analysis yielded evidence for dynamic motive activation in the OMT and showed that simulated IRT reliabilities based on the dynamic model were. 52,. 62, and. 73 for the affiliation, achievement, and power motive in the OMT, respectively. The second contribution of this article is a tutorial and R code that allows researchers to directly apply the dynamic Thurstonian IRT model to their data. The future use of the OMT in research and potential ways to improve the OMT are discussed.(PsycInfo Database Record (c) 2020 APA, all rights reserved)